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Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters. Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Embody our culture and values. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Experience prompting and working with large language models. Experience writing production-quality Python code. Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 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Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang OR equivalent experience. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs and creating pipelines for large-scale products 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. 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Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python OR equivalent experience. Background in machine learning research. Experience with large scale distributed AI systems. Ability to work collaboratively in a fast-paced, innovative environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007239", "isPrivate": false}, {"id": 1970324837006629, "name": "Member of Technical Staff, AI - Multimodal", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761617267, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837006629", "isPrivate": false}, {"id": 1970324837005425, "name": "Member of Technical Staff, AI Platform Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762368319, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate\u202findividuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 At Microsoft AI, AI is part of everything we do. Our AI Product Acceleration team is dedicated to enabling rapid development and deployment of AI across our products. We collaborate closely with the top AI engineers in the world, working at the bleeding edge of engineering and AI research.\u00a0 If you are passionate about AI, eager to work at the forefront of technology, and want to be part of a team that empowers all other teams at Microsoft Copilot to build AI products quickly and seamlessly - join us as an AI Platform Engineer!\u00a0\u00a0 By applying to this U.S. Mountain View CA position, you are required to be local to the Mountain View CA area and in office 3 days a week. Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities As an AI Platform Engineer, you will play a crucial role in building and releasing production software at the platform level. You will work on APIs, data flows, systems, and services that form the backbone of our AI products. Your expertise will help us create robust and scalable platforms that drive innovation and efficiency.\u00a0 Design, develop, and maintain platform-level software solutions.\u00a0 Collaborate with cross-functional teams to integrate AI capabilities into various products.\u00a0 Ensure the reliability, scalability, and performance of platform components.\u00a0 Stay updated with the latest advancements in AI and engineering.\u00a0 Work alongside the technical staff and AI researchers to improve model development flows.\u00a0 Embody our Culture and Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related/equivalent technical discipline AND 4+ years technical engineering experience building and scaling web services, APIs, and products. OR equivalent experience. Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js) 4+ years' experience in building and releasing production software at the platform level. Strong knowledge of APIs, data flows, systems, and services. Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in\u202flanguages including, but not limited to: Python, Golang, Java/Scala, Rust\u00a0 6+ years' experience in building and releasing production software at the platform level.\u00a0 Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)\u00a0 Experience in model pretraining, post-training, evaluation, and inference\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and\u202fscaling language learning models, either personally or professionally.\u00a0 Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Experience going from zero-to-one as well as working with developed systems. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to\u202fchanging requirements and deadlines. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005425", "isPrivate": false}, {"id": 1970324837146530, "name": "Principal Product Designer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762568208, "t_create": 1762212349, "ats_job_id": 1970324837146530, "display_job_id": 1970324837146530, "type": "ATS", "id_locale": "1970324837146530-en", "job_description": "design vision and execution for innovative zero-to-one consumer products. Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. Cross-functional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line. Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Set the bar for excellence and quality and hold the team accountable to that standard Enjoy working in a fast-paced, design-driven, product development cycle. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design OR Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems). A portfolio or work samples that demonstrate at least 5 years of experience designing world class consumer products from vision through launch. Proven track record of setting design vision for innovative products that require bold thinking and risk taking. Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation. Demonstrate high craft in design work; must value craft and translate vision into well-polished design prototypes. Experience that demonstrates proven ability to advocate for design thinking, effectively influence design outcomes, discover problems and tackle them in fast-paced and ambiguous environments. Experience with diving into research and leveraging both qualitative and quantitative signals for design impact. Experience prompting LLMs, working with generative AI, or an intense desire to learn. Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 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Create technical content (tutorials, sample apps, blog posts, videos) that demonstrates real-world uses and best practices for the company's platform or APIs. Organize and deliver live presentations, workshops, ,webinars, and internal events to drive awareness and practical adoption. Maintain and contribute to developer-facing documentation, SDKs, command-line tools, and code examples to improve onboarding and reduce friction. Act as the primary liaison between the developer community and platform engineering teams; surface feature requests, common bugs, and usability issues. Monitor internal channels, and telemetry to respond to questions, triage problems, and identify trends. Measure and report on developer metrics (adoption, retention, active usage, contributions) and craft narratives to show business impact. Create feedback loops and structured processes for bug reporting, feature prioritization, and product validation with developers. Advocate for developer-first design inside the company by insisting on clarity, tooling, and workflows that reduce cognitive load and friction. Required Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 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As a Principal Product Manager (PM) for the Agentic AI team, you\u2019ll architect solutions that reason, plan, and act across applications, the web, and the OS, empowering users to accomplish complex tasks with intelligence and reliability.\u00a0 You\u2019ll join a high-impact team dedicated to translating breakthrough model research into transformative products for Copilot, Bing, Edge, M365, and Azure. The Agentic Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving. 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This expectation is subject to local law and may vary by jurisdiction. Responsibilities Identify user workflows where AI adds clear value, basing decisions on data and user feedback.\u00a0 Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.\u00a0 Work directly with research, engineering, and design to turn AI research into practical products that scale and serve users well.\u00a0 Create and use evaluation methods to track product quality, user experience, and safety throughout development.\u00a0 Set up data processes for sourcing, labeling, and using data to boost model and product performance.\u00a0 Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.\u00a0 Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.\u00a0 Promote adoption by showing how technical features translate into user benefits and growth.\u00a0 Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem reviews.\u00a0 Qualifications Required Qualifications Bachelor's Degree AND 8+ years\u2019 experience in product/service/program management or software development OR equivalent experience.\u00a0\u00a0 5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.\u00a0 3+ years of experience building products that leverage AI/ML technologies.\u00a0 Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.\u00a0 Preferred Qualifications Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.\u00a0 Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).\u00a0 Exceptional collaboration and communication skills with a bias for action and inclusion.\u00a0 Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. 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